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Crick BioImage Analysis Symposium (CBIAS) 2022 - a review

Posted by , on 14 December 2022

Did you want to participate in the Crick BioImage Analysis Symposium (CBIAS) but missed it? Are you planning to join us next year for CBIAS2023 but unsure if it would be relevant for you? We’ve asked three of this year’s participants to tell us about their experience and collated their reports here! We’ll hear from
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First steps for presentation and analysis of calcium imaging data

Posted by , on 6 September 2022

Andrey Andreev, Desiderio AscencioCalifornia Institute of Technology, David Prober labaandreev@caltech.edu Calcium imaging is a widely used tool in neuroscience, and our community now has access to multiple computational tools to process and analyze these data. However, a significant portion of work with imaging data relies on much simpler approaches than offered in these software packages.
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FocalPlane features... Quantitative Phase Imaging

Posted by , on 6 July 2022

In case you missed ‘FocalPlane features…’ last month, here is the recording of the webinar given by Zuzana Nováková, Patrick McCall and Jan Balvan on Thursday 30 June 2022.
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An interview with Federico Lecumberry

Posted by , on 5 July 2022

MiniBio: Federico Lecumberry is an Associate Professor in Signal Processing and Machine Learning at the Department of Electrical Engineering at the Faculty of Engineering of Universidad de la Republica in Uruguay. He is also an Associate Researcher with the Advanced Bioimaging Unit of Institut Pasteur de Montevideo. He completed his BSc, MSc and PhD degrees
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Explorative image data science with napari

Posted by , on 23 May 2022

When analysing microscopy image data of biological systems, a major bottleneck is to identify image-based features that describe the phenotype we observe. For example when characterising phenotypes of nuclei in 2D images, often questions come up such as “Shall we use circularity, solidity, extend, elongation, aspect radio, roundness or Feret’s diameter to describe the shape
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#GliaMorph - a tool to analyse glial cell morphology in 3D

Posted by , on 17 May 2022

Contents What is #GliaMorph? What can you do and analyse with #GliaMorph? Links to manuscripts and data Contributions and Feedback Thanks to all contributors and people providing feedback References What is GliaMorph? GliaMorph is a toolkit implemented as Fiji Macros to allow modular application to process and analyse Müller glia morphology in the retina. During
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FocalPlane features... Machine Learning

Posted by , on 3 March 2022

In case you missed ‘FocalPlane features…’ last month, here is the recording of the webinar given by Ricardo Henriques (Instituto Gulbenkian de Ciência), Estibaliz Gómez de Mariscal (Instituto Gulbenkian de Ciência) and Martin Weigert (EPFL) on Wednesday 16 February 2022.
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If you can detect it, you can track it - recent TrackMate developments

Posted by , on 17 February 2022

TrackMate is your buddy for your everyday tracking  TrackMate (Tinevez et al., 2017) is an open-source Fiji plugin initially made for tracking single particles imaged with fluorescence microscopes. It has now been updated to include a collection of new detectors and direct implementation of deep-learning models (Ershov, Phan, Pylvänäinen, Rigaud et al., 2021). In addition
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Janelia+EMBL BioImaging Seminar Series: How We Started a Successful Seminar Series during the Pandemic

Posted by , on 25 January 2022

How we started a global BioImaging seminar series in the middle of a global pandemic...
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Behind the Screen - behind the scenes of setting up a dynamic screening platform

Posted by , on 22 November 2021

The Cell Biophysics lab has focused on FRET (Forster Resonance Energy Transfer) as it is a powerful technique to investigate dynamic protein-protein interactions, along with studying almost every aspect of cellular signaling with biosensors. FRET is detected either by ratioing the  intensities of the FRET donor and acceptor,  or by FLIM (Fluorescence Lifetime Imaging ;
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